Vi

VividManga – AI-based manga coloring focused on line art consistency

Hacker News

VividManga – AI-based manga coloring focused on line art consistency

Show HN: VividManga – AI-based manga coloring focused on line art consistency Hi HN, I built VividManga because most general image colorization models perform poorly on manga-style black-and-white line art — they often blur lines or destroy panel structure. VividManga focuses specifically on manga coloring, using an image-to-image workflow tuned for clean line preservation, flat color regions, and consistent shading. The core idea is to treat manga pages differently from natural images: - prioritize line preservation over texture realism - bias the model toward flat colors and controlled gradients - keep prompts minimal to reduce style drift Currently it supports coloring single panels or full pages, with simple tag-based control. This is still early and opinionated, and I’d really appreciate feedback from people who work with manga/comics or have experience with diffusion models and line art preservation. https://vividmanga.com

Visit product View on Hacker NewsDec 31, 2025

Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: model, models, single · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

FlowTracks – A goal-based time tracker focused on consistency35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FlowTracks – A goal-based time tracker focused on consistency

I made Superwork to keep you focused (based on Ultrawork)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made Superwork to keep you focused (based on Ultrawork)

How eventual is eventual consistency?41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How eventual is eventual consistency?

Command-line front end to transactional consistency checkers50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Command-line front end to transactional consistency checkers

manga publishers27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

magazines

Indie Hackerscommitment-full-time

manga publishers9%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

magazines

Indie Hackerscommitment-side-project

An AI-based OKRs generator49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An AI-based OKRs generator

Custom Model for Coloring Manga/Comics47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Custom Model for Coloring Manga/Comics

An AI based CX automation and FrontOffice RPA tool

Seeturn – AI-Based Code Translator57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Seeturn – AI-Based Code Translator

Browse all products Analyze your launch